数字金融对我国海洋生态福利绩效的影响研究OA
Research on the impact of digital finance on China's marine ecological well-being performance
海洋生态福利绩效包含了海洋经济效能、海洋生态环境与涉海民生福祉三方面的协同内容.数字金融作为新质生产力的强劲推力之一,为提升海洋生态福利绩效提供了新路径.文章使用超效率SBM模型测度2011-2020年沿海11省市海洋生态福利绩效水平,实证分析数字金融对海洋生态福利绩效的影响机理,并构建面板门槛模型考察数字金融对海洋生态福利绩效的非线性影响.研究结果表明:研究期内我国海洋生态福利绩效经历了先降低后上升的变化过程,这一转折点大致出现在2013年;数字金融对海洋生态福利绩效存在显著促进作用;数字金融对海洋生态福利绩效的影响存在以海洋产业结构升级和海洋环境保护财政支出为门槛变量的单一门槛效应.研究可为推动数字金融发展和提升海洋生态福利绩效水平提供政策启示.
The performance of marine ecological well-being is a fundamental reflection of the relationship between marine economic efficiency,marine ecological environment,and people's welfare.Digital finance,as one of the powerful drivers of new quality productivity,provides a new way to enhance the performance of marine ecological well-being.The article uses super-efficiency SBM model to measure the performance level of marine ecological well-being in 11 coastal provinces from year 2011 to 2020.It empirically analyzes the impact mechanism of digital finance on marine ecological well-being performance and constructs a panel threshold model to examine the nonlinear impact of digital finance on marine ecological well-being performance.The results show that during the study period,China's marine ecological well-being performance experienced a process of first decreasing and then increasing,and this turning point roughly occurred in 2013.Digital finance has a significant promoting effect on the performance of marine ecological well-being.The impact of digital finance on marine ecological well-being performance has a single threshold effect with the upgrading of marine industry structure and fiscal expenditure on marine environmental protection as threshold variables.Research can provide policy insights for promoting the development of digital finance and improving the performance level of marine ecological well-being.
李福柱;范雅萱
中国海洋大学经济学院,山东青岛 266100中国海洋大学经济学院,山东青岛 266100
管理科学
海洋生态福利绩效数字金融海洋产业结构升级超效率SBM模型
marine ecological well-being performancedigital financemarine industrial structure upgradeSuper-efficiency SBM model
《中国渔业经济》 2025 (4)
82-94,13
本文受教育部人文社科重点研究基地资助项目"我国海洋产业结构变迁的劳动生产率效应研究"(2016JDZS02)资助.
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